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[参考译文] PGA460-Q1:BPF 滤波后的数字表示

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Other Parts Discussed in Thread: PGA460
请注意,本文内容源自机器翻译,可能存在语法或其它翻译错误,仅供参考。如需获取准确内容,请参阅链接中的英语原文或自行翻译。

https://e2e.ti.com/support/sensors-group/sensors/f/sensors-forum/1246974/pga460-q1-number-representation-after-bpf-filtering

器件型号:PGA460-Q1
主题中讨论的其他器件:PGA460

我通过直接数据突发模式从 PGA460提取原始数据。 当 DP_MUX=3时、将从 BPF 滤波器中提取数据。 我无法理解提取的数字的格式。

在上部子图中、每个字节都绘制为无符号8位整数。 看起来像 二进制补码、我将它转换成了带符号的 int 数字。 重新解释后的信号绘制在较低的子图上。

您可以在索引87、88处看到一个工件。 这些索引中的字节等于0x7B、被视为正数123。 似乎确实应该是数字123-256=-133。 结论是、数字表示不是二进制补码。 但什么呢?

当我从整流器中提取原始数据(DP_MUX=2)时、没有伪影、因此它不是错误、而是没有记录的特性。

其他参数:

SAMPLE_SEL=0

TH_P1_T1=0xFF

TH_P2_T1 = 0xFF

BPF_B1_MSB = 0x14

BPF_B1_LSB = 0xBF

BPF_A2_MSB = 0x8E

BPF_A2_LSB = 0x67

BPF_A3_MSB = 0xD6

BPF_A3_LSB = 0x81

包含信号、二进制补码解码器和绘图仪的代码:

import numpy as np
import matplotlib.pyplot as plt

def packToBytes(pack):
    return np.array([int(x, 16) for x in pack.split(' ')])


def processBpfTwoComplement(samples, width):
    sampleValues = np.copy(samples)
    width = 8 if width == '8bit' else 12
    for i in np.ndindex(sampleValues.shape):
        val = int(sampleValues[i])
        if (val & (1 << (width - 1))) != 0:
            sampleValues[i] = val - (1 << width)
    return sampleValues


signal = "02 05 07 09 09 05 fe f8 f3 f1 f0 f2 f8 fe 02 04 04 03 03 05 0a 0f 13 14 14 12 0d 06 fd f7 f4 f5 f7 fa fd fe fb f6 f3 f1 f2 f5 fd 05 0b 0f 0f 0b 07 05 04 05 07 0e 19 22 25 20 15 05 f1 de cf c5 be b9 b7 b9 bf c8 d6 f2 1c 41 5d 6e 76 75 6d 5f 4e 36 14 ea c0 9e 87 7b 7b 82 96 bb ec 1b 42 5e 70 73 67 51 37 1a fa e0 cf c4 c0 c3 d0 e3 f9 0d 1f 2a 28 1d 0d fb e9 d9 d2 d6 e1 f1 05 1c 2f 3a 40 42 3c 2c 19 02 e7 cc b4 a7 a2 a6 b7 d3 f8 1c 39 4e 5b 5d 54 43 2d 12 f5 da c4 b1 a5 a3 ae c3 dc fb 1d 39 4c 53 53 4a 38 22 0b f7 e4 d4 d4 cb c7 c6 ca d5 e5 f7 08 18 26 2c 29 23 1e 14 09 00 fc fa f8 f7 f8 f7 f1 ed ec ee ee f0 f4 fa fd ff 03 08 0d 10 14 1b 21 21 1d 16 0b fd f1 e8 e2 df e0 e6 f0 f7 ff 08 10 14 14 13 12 0e 06 fd f5 ed e7 e7 eb f0 f7 01 0d 18 1d 20 20 1d 13 06 fa ec de d5 d1 d4 da e6 f8 0c 1f 2d 39 3f 3c 31 21 0d f7 e2 d0 c3 bb bb c3 d2 e6 fc 15 2d 3f 49 4c 49 3c 28 10 f7 de c8 ba b2 b0 b7 c7 dc f4 0c 23 38 47 4f 4e 46 36 20 08 ef d8 c8 bf ba bb c3 d1 e3 f7 0c 20 31 31 3e 44 46 40 34 22 0c f6 e0 ce c1 bb ba be c9 da ee 02 16 29 39 43 46 44 3b 2a 15 fe e9 d5 c6 c0 c0 c3 cd dd f1 06 19 2a 37 3f 42 3e 34 23 0f fa e6 d6 c8 c1 c2 c6 cf dd f1 06 18 27 34 3d 3f 3a 2e 1f 0b f6 e3 d3 c7 c1 c2 ca d6 e6 fa 11 25 34 3d 42 42 39 29 18 05 f1 dd ce c5 c0 c0 c7 d5 e6 fa 0e 22 31 39 3c 3b 34 26 14 01 ef de d0 c9 c5 c4 c9 d7 e9 fb 0d 1f 2f 38 3b 3b 36 2a 19 07 f6 e6 d7 cd c8 c7 ca d4 e5 f7 09 19 29 34 39 38 33 2a 1b 1b 08 f7 e9 dc d2 cd cc ce d4 e0 f0 00 0e 1b 27 2d 2e 2c 27 1e 11 02 f5 ea e0 db db dd df e7 f2 ff 08 11 1a 22 23 22 22 1f 15 08 fb f1 e7 df dc dd e0 e4 ed f9 05 0e 15 1b 1e 1d 1a 16 10 06 fc f4 ef eb e8 e8 e9 eb ef f8 02 09 0e 13 1a 1e 1d 19 15 0d 03 f8 f1 eb e6 e4 e6 e9 ed f3 fb 04 0a 0f 13 18 1a 17 13 0f 07 fc f2 ec e7 e4 e4 e8 ee f4 fc 06 0d 12 16 19 1b 1a 16 10 09 ff f5 ef eb e6 e3 e4 e9 f0 f8 02 0b 12 16 1a 1e 1d 18 10 07 fd f3 eb e6 e2 e2 e0 e2 e7 ef f7 ff 09 11 16 19 18 18 16 11 0b 05 ff f9 f5 f3 f1 f0 ee ef f2 f7 fd 04 0b 10 12 12 11 10 0d 0a 06 01 fc f7 f3 ef ed ec eb ee f4 fc 04 0a 0f 11 11 10 0d 0a 06 02 fd f9 f6 f4 f3 f3 f4 f8 fe 03 09 0d 0f 0d 0c 0c 09 05 02 ff fb f8 f6 f2 ee ee f2 f6 fa 00 07 0c 0f 12 12 0f 0b 06 01 fc f5 f1 ef ef ed ef f3 f8 fe 05 0b 10 12 15 17 15 11 0c 05 fe f7 f1 ee ec ea ea ee f6 fc 02 08 0e 10 12 14 14 11 0b 05 ff f9 f1 ec e8 e5 e6 e9 e9 f0 f9 01 07 0f 14 14 15 17 15 10 09 03 fe f8 f2 ef f0 f1 f0 f2 f8 fe 02 07 0b 0e 0c 0d 0f 0d 09 04 01 fd f8 f5 f4 f6 f6 f4 f5 f9 fc fe 01 05 07 07 09 0b 0b 07 04 03 00 fc f9 fa fc fd fe ff 02 01 01 02 03 05 07 0a 0b 08 02 ff fd f8 f3 f1 f1 f4 f7 fa ff 03 04 04 05 05 06 09 0c 0c 09 04 01 fe f8 f5 f5 f8 f8 f9 fb ff 01 00 00 01 04 08 0d 11 10 0c 06 01 fc f6 f2 f3 f6 f7 f9 fc fe fd fb fc fd fd ff 04 06 05 01 00 03 03 04 07 0b 0e 0e 0b 07 01 fa fa f6 f6 f7 f8 f8 fa f9 f5 f1 f2 f4 f6 fb 03 0b 10 11 0e 0c 0c 0b 0b 0d 0d 0c 09 05 fc f1 eb e9 eb ee f1 f7 fd ff ff fe fe fe 01 05 09 0c 0c 0c 0c 08 04 03 05 08 09 09 08 06 00 fa f6 f4 f5 f9 fb fb fa f8 f5 f3 f2 f4 fa 01 08 0c 0e 0d 0c 09 07 06 06 09 0a 09 04 fe f8 f3 f1 ef f0 f5 fa fc fe ff ff 00 01 03 05 0b 12 14 12 0d 07 02 fd f9 f8 f9 fa f8 f6 f5 f4 f3 f5 f9 fd 02 06 09 09 07 06 06 06 07 06 07 07 05 01 fc f8 f6 f6 f7 f8 f9 fb fd fd fd fa fa fc ff ff 02 06 09 0a 08 08 09 0a 0b 0c 0e 0e 0a 05 fe f6 ef eb ec ef f1 f4 f7 fa fa fa fa fc 00 05 0a 0f 10 0f 10 0e 0b 07 06 07 07 05 02 ff fb f7 f5 f5 f7 f7 f9 fc fc fa f7 f7 f9 fc ff 03 08 0a 0a 07 07 08 08 08 09 0b 0b 08 04 fd f5 f1 f1 f2 f3 f6 fa fe fe fc fc fb fc 00 05 0a 0d 0f 0f 0d 09 05 03 03 03 02 01 ff fc f8 f5 f2 f1 f2 f4 f7 fa fd fe ff 00 01 03 05 08 0c 0d 0d 0d 0b 08 05 03 00 fd fb f9 f8 f7 f4 f3 f3 f5 f7 fa fd 00 04 06 08 0a 0d 0e 0e 0e 0c 0a 08 05 01 fd fa f8 f7 f7 f6 f4 f3 f3 f3 f3 f6 f9 fc 01 05 09 0c 0d 0e 0f 0e 0d 0c 0b 09 07 04 01 fe fb f8 f8 fa fa f9 f6 f5 f4 f3 f3 f5 fa 00 05 09 0c 0d 0d 0d 0a 09 08 06 06 04 02 fe f9 f6 f5 f5 f5 f7 f9 fa fa fa fb fd ff 04 07 0a 0b 0d 0e 0d 0a 07 05 03 02 01 ff fd fa f7 f4 f1 f1 f3 f6 f9 fc ff 01 02 02 02 04 09 0c 0d 0d 0c 09 04 ff fb f8 f8 f8 f6 f6 f7 f8 f9 fa fb fd 00 05 07 08 0b 0d 0d 0b 09 07 05 04 02 00 fd fb fa f9 f6 f2 f0 f0 f1 f1 f2 f4 f7 fb 00 05 08 0a 0b 0d 0e 0e 0d 0d 0c 0a 07 03 00 fc f8 f6 f6 f9 fa fa f9 f8 f7 f7 f8 f9 fc 00 07 0c 0e 0e 0d 0c 0a 08 06 04 03 02 00 fd f9 f6 f6 f6 f6 f6 f7 f9 fa fa f9 f9 fc 00 05 0a 0d 0f 11 10 0d 09 08 07 05 02 00 fe fb f8 f6 f5 f4 f4 f6 f9 fa fb fc fe ff fe 00 04 05 03 04 08 0a 09 0a 0a 09 08 05 02 fe f9 f6 f6 f7 f5 f4 f6 f9 f9 fa fb fe 02 05 08 0b 0d 0f 0f 0e 0a 06 03 02 01 fd fa f9 f8 f5 f0 ef f0 f3 f6 f9 fc ff 01 04 05 06 07 0b 0e 0e 0f 0e 0c 0b 09 05 00 fc fb fa f9 f9 f8 f6 f4 f4 f3 f3 f5 fa 00 05 07 0a 0c 0e 0d 0b 0b 0a 08 06 04 02 ff fb f8 f6 f6 f5 f5 f6 f6 f6 f7 fa fc fd 00 06 0b 0d 0e 10 10 0d 0a 09 07 05 03 01 fe f9 f5 f5 f6 f6 f5 f7 f9 fa fa fa fb fd ff 03 07 08 07 08 08 08 06 05 06 07 06 04 02 ff fc f8 f7 f6 f5 f7 f9 fb fc fc fc fe ff 00 03 07 09 0b 0c 0b 0b 0a 07 05 04 02 00 fd fb f8 f6 f5 f3 f2 f3 f4 f6 f8 f9 fb ff 02 05 07 08 0b 0e 0e 0e 0d 0c 0a 08 05 01 fc f9 f7 f7 f5 f3 f2 f3 f4 f6 f7 f9 fb fe 00 04 07 08 09 0b 0d 0c 0b 0a 09 09 07 04 01 fc f7 f4 f4 f5 f5 f4 f6 f7 f7 f7 f9 fc 00 03 08 0c 0e 0f 10 10 0e 0b 09 08 07 04 ff fc f9 f6 f4 f2 f1 f1 f2 f5 f8 fa fc ff 03 06 08 09 09 09 0a 0a 09 09 07 06 04 01 fe fb f9 f9 f9 f8 f8 f9 f9 fa fc fc fd ff 03 05 07 07 08 09 09 08 08 08 08 07 05 02 ff f9 f5 f3 f1 ef ef f2 f5 f7 f8 fb 00 02 05 09 0e 12 13 12 0f 0c 07 03 ff fc f9 f7 f6 f3 f1 f0 f2 f5 f8 fc 02 06 09 0a 0b 0d 0c 0a 09 09 07 05 03 01 ff fc f8 f6 f6 f6 f3 f2 f4 f5 f6 f7 fa fe 01 05 09 0c 0c 0d 10 11 0f 0c 0a 09 06 02 fe fc f9 f7 f7 f7 f5 f5 f5 f5 f5 f5 f7 fb ff 03 06 09 0b 0a 09 0a 09 0a 0a 09 09 07 03 ff fa f6 f3 f3 f4 f6 f7 f9 fb fd fc fc ff 02 05 09 0b 0c 0e 0e 0c 0a 08 06 04 02 00 fc f9 f7 f5 f3 f2 f2 f4 f6 f8 fa fc fe 01 03 06 08 0a 0d 0d 0c 0a 07 05 03 00 fd fc fb fa f8 f5 f5 f6 f8 fb fe 00 02 04 05 07 0a 0d 0d 0c 09 05 02 fe fa f8 f7 f6 f4 f4 f4 f5 f6 f7 fa fd ff ff 02 05 08 08 06 07 0a 0c 0d 0e 0d 0c 0a 05 fe fa f6 f4 f6 f7 f7 f8 f9 f9 f8 f7 f8 fa fe 03 07 0a 0b 09 08 08 08 08 0a 0c 0c 09 05 00 fa f4 f0 f0 f3 f6 f9 fb fc fb fa f8 f8 fb ff 05 0c 0e 0d 0b 0b 0a 07 05 07 0a 09 07 03 ff fa f4 f1 f2 f3 f5 fa fd fe fc fb fc fc fd 00 06 0a 0a 09 08 07 05 04 04 05 06 06 05 02 fd f8 f6 f7 f8 f7 f9 fb fb fa f8 f8 fa fe 02 07 0c 0d 0d 0c 09 05 03 03 04 04 04 03 01 fd f8 f4 f2 f2 f3 f4 f5 f8 f9 fa fb fd 00 04 08 0c 0e 11 11 10 10 0c 08 05 04 03 01 ff fd fa f7 f7 f4 f1 f1 f2 f5 f7 f9 fb 00 03 05 07 08 0b 0e 0f 0e 0c 0a 07 04 01 fe fb fa fa fa f8 f7 f8 f8 f7 f7 f9 fb fd ff 03 05 07 08 08 09 0b 0d 10 11 0f 0b 08 03 fb f4 f1 ef ef f1 f3 f5 f5 f6 f8 f8 f9 fc 02 09 0c 0d 0e 0e 0d 0a 08 07 05 05 06 04 00 fb f6 f4 f4 f5 f6 f9 fc fd fc fc fc fd ff 02 06 09 0a 0b 0b 08 06 04 03 02 02 01 01 ff fb f7 f7 f5 f3 f3 f6 f8 fa fc fe ff 01 03 06 09 0c 0e 0e 0d 0b 07 04 03 01 ff ff ff fd f9 f6 f4 f2 f1 f2 f6 f6 f9 fd ff 03 06 06 05 04 05 07 09 0b 0b 09 08 06 02 fe fa f9 f9 fb fb fa fa fa f7 f5 f5 f6 f9 fe 04 09 0b 0d 0d 0c 0c 0b 0d 0e 0d 0b 07 02 fc f5 f0 ef f1 f2 f5 f8 f8 f8 f9 f9 f9 fb ff 04 09 0c 0a 09 09 08 07 08 0a 0b 0c 0b 08 01 f9 f4 f1 f0 f3 f8 fc ff ff fe fd fa f7 f9 fe 03 07 0a 0b 09 06 05 05 05 06 07 09 07 03 fd f7 f3 f1 f1 f3 f7 fa fd ff ff fd fb fd 01 04 08 0b 0e 10 0f 0c 09 08 06 05 04 02 fd f8 f5 f3 ef ed ef f2 f4 f7 f9 fc fe 00 02 05 08 0c 10 12 11 11 0e 0b 07 03 00 fe fd fb f9 f9 f7 f4 f3 f2 f4 f6 f8 fb 00 05 07 08 0a 0c 0e 0f 0f 0e 0c 08 03 ff fc f9 f7 f6 f5 f4 f5 f6 f6 f6 f7 f9 fb fe 00 04 07 09 0a 0b 0d 0e 0e 0e 0b 09 06 02 fd f9 f6 f5 f7 f7 f8 f9 fa f9 f8 f9 fb fe 02 07 0a 0a 09 09 08 06 04 03 04 05 04 02 fe fa f7 f3 f2 f2 f4 f7 fb fd ff 01 01 01 02 05 0b 10 13 12 0f 0a 05 00 fb f8 f7 f9 fa f9 f7 f5 f5 f6 f6 f7 fa 00 04 07 08 0a 0b 0b 0b 0a 08 06 04 02 fd f9 f7 f6 f5 f4 f4 f6 f9 fb fd fe fe 00 03 05 06 09 09 0e 11 11 0e 0a 08 05 03 00 fd fb f9 f7 f7 f4 f0 ee ef f1 f3 f6 fb 00 04 06 09 0c 0e 10 0f 0f 0e 0c 09 07 04 ff fd fb f9 f7 f6 f6 f6 f5 f3 f5 f8 fb fe 02 08 0c 0c 0c 0d 0d 0a 08 07 04 02 01 00 fc f8 f5 f5 f7 f6 f6 f7 f8 f8 f8 f8 fa fe 01 08 0d 0f 0e 0f 0f 0b 06 03 02 01 00 ff ff fd fa f8 f6 f4 f3 f6 fb fe ff ff 01 03 02 00 02 08 0a 0a 0b 0b 09 05 02 ff fa f7 f7 f8 f5 f3 f4 f7 f9 f9 fb ff 03 05 07 08 0a 0b 0b 0c 0b 09 07 08 07 03 ff fd fa f7 f3 f0 f1 f1 f1 f1 f3 f6 f9 fb ff 03 06 07 07 08 09 09 0a 0c 0d 0c 0a 08 07 03 fd fa f8 f7 f7 f8 f6 f5 f3 f3 f5 f5 f7 fc 03 09 0d 0e 0e 0e 0e 0b 0a 0a 09 07 05 03 fe f8 f4 f2 f2 f2 f4 f8 f9 f8 f8 f9 fb fc 00 05 09 0b 0d 10 10 0d 09 09 09 06 04 02 00 fb f7 f5 f5 f6 f5 f6 f8 f9 f9 f9 fa fc fd 01 06 0a 09 0a 0c 0b 08 05 05 05 04 03 02 fe fa f7 f5 f4 f2 f3 f6 fa fd fe 00 02 03 04 08 0e 11 12 11 0e 09 04 00 fc f7 f6 f7 f6 f4 f2 f0 f1 f3 f4 f7 fd 03 07 09 09 09 09 09 09 09 09 0a 0b 0b 09 06 01 fb f7 f6 f6 f8 fa f9 f9 f7 f6 f5 f5 f7 fc 02 08 0e 10 0e 0c 0c 0a 08 08 09 0a 09 07 02 fb f6 f2 f0 f2 f3 f3 f5 f8 f7 f5 f6 f9 fe 02 08 0e 10 0f 0f 0d 0b 09 07 07 08 08 05 01 fd f9 f7 f6 f7 f8 f8 f8 f7 f6 f5 f5 f6 fa 00 07 0c 0e 0e 0c 0b 07 03 02 04 03 02 00 fe fb f7 f6 f5 f6 f7 fa fd ff fd fc fd fe 00 04 09 0c 0d 0e 0e 0c 09 05 02 01 00 ff fd fc fa f6 f2 f1 f1 f0 f3 f8 fb fd 00 03 05 04 06 0a 0d 0f 0e 0d 0c 08 03 00 fe fb f7 f8 f8 f9 f6 f3 f3 f5 f5 f6 f8 fc 01 05 08 0a 0a 0a 0c 0c 0d 0c 0a 0b 0a 05 ff fa f6 f3 f1 f0 f0 f2 f3 f4 f7 fa fb ff 04 09 0b 0d 0e 0e 0c 0a 0b 0b 0a 08 07 06 03 fe fa f8 f6 f5 f6 f7 f7 f6 f5 f5 f5 f7 fb 02 08 0b 0b 0b 0d 0b 08 06 05 04 03 04 03 00 fc f9 f9 f8 f8 f9 fa fc fb fa f9 fa fb fd 00 05 08 0a 0b 0d 0c 0a 09 08 05 03 03 02 fe f8 f4 f3 f2 f1 f3 f5 f7 fa fb fc fd ff 01 05 08 08 0a 0e 0f 0e 0b 0a 07 05 02 ff fc f9 f8 f6 f2 f2 f4 f8 fa fb fc fe 00 01 01 02 03 07 0c 0f 11 10 0e 0a 06 02 fc f8 f6 f4 f5 f3 f0 f1 f3 f4 f4 f7 fb ff 05 09 0a 0a 0a 0c 0d 0d 0e 0f 10 0e 0a 06 01 fd f9 f5 f5 f6 f7 f6 f5 f3 f3 f3 f5 f7 fb 02 08 0c 0d 0b 0a 0a 08 06 06 07 09 09 05 00 f9 f6 f4 f3 f5 f7 fa fc fc fb fa fb fe 01 05 0a 0d 0f 10 0e 09 03 01 01 00 00 01 01 ff fc f9 f6 f4 f3 f3 f4 f7 f9 fb fc fd fe 01 05 08 09 0b 0e 0e 0c 09 07 05 03 03 00 fd fb fa fa f9 f6 f4 f6 f7 f8 f9 fb fe 00 02 04 06 09 0d 0e 0e 0c 09 06 03 00 fc f9 f9 f8 f8 f5 f1 f2 f3 f3 f4 f7 fb fe 01 04 07 08 08 0a 0e 0f 0f 10 11 0e 09 05 02 fd f8 f5 f6 f8 f7 f5 f5 f6 f4 f3 f5 f9 fc 00 05 08 0a 08 08 0a 09 09 0a 0c 0b 09 06 01 fc f7 f3 f3 f5 f5 f5 f8 fa f9 f9 fc 00 03 07 0d 11 12 11 0d 09 05 02 00 00 00 ff ff fe fc f7 f1 ee ee ee f1 f7 fb ff 02 05 06 06 09 0d 0f 10 10 0f 0c 07 03 fe fb f7 f5 f4 f3 f3 f3 f4 f8 fb fd 00 06 09 0a 0c 0f 0f 0d 09 07 05 01 fd fb fa f9 f5 f1 ef f0 f1 f4 f8 fc ff 03 07 08 06 06 09 0c 0c 0c 0b 0c 0d 0a 06 03 00 fd f9 f8 f9 fa f8 f6 f6 f4 f1 f2 f6 fb ff 03 09 0d 0c 09 08 09 08 07 08 0a 0b 08 05 02 fb f5 f3 f3 f6 f6 f6 f8 f8 f7 f5 f7 fc ff 04 09 10 11 0f 0e 0d 0b 08 07 08 08 06 04 01 fb f5 f2 f4 f6 f7 f8 f9 f8 f5 f2 f2 f5 f9 00 08 0f 11 10 0f 0c 07 04 03 04 05 05 03 00 fd f8 f5 f5 f6 f7 fa fc fd fb f9 f9 fb fc 00 06 0c 0f 0f 0f 0d 09 04 01 01 02 02 00 ff fc f7 f4 f2 f0 ef f1 f6 fa fb fb fd 00 03 05 07 0c 12 14 13 11 0e 09 04 01 fd f9 f9 f7 f8 f6 f1 ef f0 f2 f3 f6 fa ff 04 06 08 08 07 07 09 0c 0d 0c 0b 0a 09 02 fc f8 f5 f4 f4 f5 f6 f7 f7 f7 f9 fa fa fd 02 05 08 0b 0d 0e 0e 0c 0d 0d 0c 0a 09 07 03 fc f8 f5 f2 f2 f4 f5 f5 f5 f6 f8 f9 f9 fb 01 07 08 09 0a 0b 09 07 07 08 08 08 07 06 02 ff fc fa f8 f5 f5 f7 f8 f7 f7 f8 fa fc fe 03 09 0c 0c 0c 0c 09 07 07 08 06 04 02 00 fc f6 f3 f3 f3 f1 f2 f6 f9 f9 fa fc fc fd 01 07 0b 0b 0c 0e 0e 0b 08 07 08 06 05 03 01 fe fa f7 f7 f5 f1 f1 f2 f4 f4 f3 f4 f8 fd 00 04 0a 0e 0d 0d 0e 0c 09 05 04 04 01 00 ff fe fb f8 f8 f9 f7 f4 f4 f6 f7 f7 f9 fd 02 06 08 0c 0e 0f 10 11 11 0e 0a 08 06 01 fb f7 f6 f5 f3 f2 f2 f3 f4 f4 f6 f7 f8 fc 01 04 07 0a 0c 0e 0e 0c 0c 0c 09 06 04 02 ff fb f8 f8 f8 f6 f7 fa fc fb fb fc fd fd fe 01 04 06 06 07 09 0b 0a 0a 09 08 05 02 ff fb f6 f4 f3 f1 f1 f3 f6 f9 fa fc fe 01 04 06 08 0c 0f 0f 0e 0d 0a 06 03 01 ff fc fa f9 f7 f3 f1 f3 f4 f5 f6 fb ff 02 04 07 08 08 0a 0c 0c 0c 0c 0a 08 06 03 ff fb f9 f8 f5 f3 f2 f3 f2 f2 f4 f8 f9 fc 02 08 0d 0e 0f 10 12 10 0d 0c 0a 08 05 03 00 fc f9 f7 00"

samples = packToBytes(signal)[:200]
sampleTime = np.arange(samples.size)

samplesDecoded = processBpfTwoComplement(samples, '8bit')

fig1 = plt.figure()
ax1 = fig1.add_subplot(211)
ax1.plot(sampleTime, samples, label='Samples')


ax2 = fig1.add_subplot(212)
ax2.plot(sampleTime, samplesDecoded, label='Samples')

  • 请注意,本文内容源自机器翻译,可能存在语法或其它翻译错误,仅供参考。如需获取准确内容,请参阅链接中的英语原文或自行翻译。

    你好、Xibei、

    感谢您在传感器论坛发帖!  

    该值应为预期的二进制补码值。 来确认我使用直接数据突发从 BPF 收集。 我将原始数据导出到 Excel 工作表中、并计算了原始数据的二进制补码、得到了预期结果。 我在此处附上了我的 Excel 工作表供参考。

    e2e.ti.com/.../PGA460-direct-data-burst-raw-data.xlsx

    我不知道你为什么在你的最后看到奇怪的行为。 您确认您的转换正确吗? 要生成-123、您的十六进制值将是0x85、0x7B 将生成正123。 您提供的图形是使用真实数据还是测试信号绘制的?  

    此致!

    艾萨克

  • 请注意,本文内容源自机器翻译,可能存在语法或其它翻译错误,仅供参考。如需获取准确内容,请参阅链接中的英语原文或自行翻译。

    你好,Isaac!

    我确定转换是正确的。 实际采样值为0x7B、解码值为正123、而最近的邻居为负、这提供了伪影。 我提供的图形是在另一个换能器突发时在仅监听模式下完成的。

    我检查了你提供的系列,发现了相同的多个文物从250到320我们。 上部子图是无符号字节解释(红线是128)、下部子图是二进制补码解释。

    我们可以看到上面的图系列从上到下穿过了红线。 当发生这种交叉时、下方的图上会出现伪影。

    在250us 之前、我们可以看到87.6kHz 以及320us 后的良好波。 在从250到320us 的时间间隔内、频率增长多达4倍、且似乎超出 BPF 频段。 所以、我想您的系列也会受到影响。

    绘图代码:

    import numpy as np
    import matplotlib.pyplot as plt
    
    def processBpfTwoComplement(samples, width):
        sampleValues = samples.copy()
        width = 8 if width == '8bit' else 12
        for i in np.ndindex(sampleValues.shape):
            val = int(sampleValues[i])
            if (val & (1 << (width - 1))) != 0:
                sampleValues[i] = val - (1 << width)
        return sampleValues
    
    samples = np.array([0, 254, 255, 255, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 252, 251, 255, 4, 12, 13, 10, 5, 244, 237, 231, 233, 247, 1, 12, 29, 32, 26, 18, 250, 239, 224, 223, 232, 242, 9, 20, 27, 30, 26, 9, 254, 236, 231, 235, 241, 3, 10, 12, 10, 7, 255, 251, 249, 254, 7, 11, 13, 12, 7, 246, 238, 231, 232, 243, 252, 21, 31, 38, 34, 25, 255, 237, 211, 207, 218, 231, 11, 32, 48, 59, 53, 22, 255, 209, 194, 191, 202, 243, 14, 41, 74, 76, 51, 28, 224, 198, 172, 176, 213, 241, 17, 73, 88, 80, 60, 255, 219, 168, 160, 164, 207, 241, 58, 84, 100, 88, 34, 252, 180, 158, 150, 175, 204, 29, 66, 108, 108, 67, 32, 206, 172, 150, 150, 172, 245, 34, 101, 115, 98, 69, 242, 199, 165, 137, 146, 205, 249, 79, 107, 118, 100, 28, 237, 193, 137, 132, 170, 207, 44, 84, 126, 122, 69, 26, 233, 153, 132, 142, 170, 255, 48, 118, 130, 103, 68, 23, 184, 149, 126, 140, 210, 2, 93, 121, 126, 103, 67, 227, 181, 125, 123, 170, 211, 54, 96, 135, 128, 104, 21, 225, 143, 123, 137, 169, 5, 56, 98, 138, 130, 68, 20, 177, 141, 119, 136, 211, 5, 57, 129, 139, 107, 68, 225, 176, 119, 117, 166, 210, 5, 101, 130, 133, 108, 19, 221, 137, 118, 144, 181, 227, 65, 97, 113, 99, 36, 252, 182, 164, 171, 192, 221, 30, 58, 83, 74, 32, 3, 207, 190, 187, 204, 227, 24, 46, 69, 64, 25, 0, 211, 197, 193, 207, 230, 25, 46, 67, 64, 27, 1, 209, 194, 191, 205, 228, 25, 47, 69, 67, 32, 4, 209, 192, 186, 197, 218, 20, 46, 75, 75, 44, 14, 212, 191, 177, 186, 204, 8, 39, 80, 85, 62, 35, 223, 195, 167, 171, 186, 243, 23, 79, 92, 81, 59, 245, 210, 164, 159, 167, 217, 0, 69, 91, 96, 79, 13, 230, 169, 155, 155, 192, 228, 51, 82, 106, 97, 42, 0, 182, 158, 148, 171, 200, 25, 63, 109, 110, 71, 34, 205, 171, 143, 151, 173, 246, 35, 101, 115, 97, 68, 238, 196, 142, 138, 149, 211, 0, 83, 109, 115, 95, 18, 227, 155, 138, 137, 180, 220, 56, 92, 122, 113, 51, 5, 175, 147, 134, 157, 189, 23, 67, 120, 123, 83, 42, 204, 166, 141, 139, 162, 241, 33, 107, 124, 108, 77, 242, 196, 159, 129, 139, 202, 248, 83, 113, 125, 106, 29, 235, 189, 131, 127, 168, 206, 47, 89, 131, 126, 68, 21, 181, 147, 129, 143, 173, 8, 56, 122, 131, 99, 59, 216, 173, 127, 129, 148, 226, 20, 103, 126, 118, 90, 255, 206, 137, 126, 132, 189, 236, 75, 110, 130, 114, 40, 245, 158, 133, 124, 159, 196, 38, 83, 131, 130, 79, 33, 190, 152, 129, 135, 163, 250, 45, 119, 134, 109, 74, 232, 184, 126, 122, 136, 206, 255, 93, 123, 130, 107, 22, 226, 143, 124, 122, 169, 211, 56, 98, 137, 129, 66, 16, 174, 140, 122, 141, 173, 10, 61, 128, 137, 102, 61, 214, 169, 137, 123, 143, 221, 14, 104, 129, 127, 100, 8, 212, 144, 223, 15, 103, 129, 127, 101, 7, 212, 136, 121, 125, 180, 224, 62, 102, 137, 127, 58, 7, 168, 137, 122, 146, 180, 15, 62, 127, 136, 99, 57, 211, 168, 137, 127, 147, 225, 17, 103, 127, 124, 94, 0, 207, 166, 126, 132, 189, 231, 70, 106, 131, 118, 41, 248, 200, 137, 127, 160, 196, 30, 75, 127, 129, 80, 34, 241, 158, 135, 140, 165, 248, 41, 114, 128, 105, 69, 22, 186, 153, 132, 146, 213, 3, 90, 117, 121, 98, 59, 220, 178, 133, 134, 182, 225, 63, 99, 126, 114, 87, 253, 207, 142, 132, 160, 196, 34, 75, 122, 121, 104, 29, 237, 159, 139, 145, 171, 2, 48, 112, 123, 117, 60, 15, 182, 151, 135, 152, 228, 19, 96, 116, 121, 83, 45, 209, 171, 135, 140, 198, 243, 74, 104, 119, 102, 73, 240, 196, 139, 134, 173, 214, 48, 85, 109, 113, 92, 16, 226, 154, 137, 152, 184, 17, 60, 114, 119, 108, 48, 4, 175, 147, 138, 160, 241, 30, 99, 115, 115, 72, 35, 204, 167, 136, 144, 208, 253, 78, 104, 116, 93, 63, 233, 192, 141, 138, 180, 221, 53, 88, 110, 108, 86, 10, 220, 152, 138, 157, 191, 23, 64, 96, 116, 103, 41, 254, 172, 146, 142, 165, 247, 35, 74, 115, 113, 67, 27, 195, 162, 138, 150, 218, 7, 85, 108, 116, 87, 54, 222, 183, 140, 141, 188, 231, 62, 94, 113, 105, 80, 252, 208, 147, 138, 165, 200, 33, 73, 118, 117, 100, 29, 239, 162, 141, 147, 173, 1, 46, 110, 120, 115, 60, 15, 184, 153, 137, 153, 224, 15, 94, 115, 121, 86, 48, 212, 173, 135, 140, 193, 238, 70, 102, 119, 105, 75, 243, 199, 142, 136, 171, 209, 43, 81, 108, 115, 95, 18, 229, 157, 140, 156, 185, 13, 54, 87, 114, 103, 43, 2, 182, 158, 153, 173, 241, 25, 60, 100, 99, 59, 25, 210, 183, 164, 174, 224, 0, 58, 76, 82, 61, 36, 235, 210, 183, 186, 219, 244, 38, 56, 65, 54, 36, 246, 225, 201, 201, 223, 242, 25, 39, 47, 41, 29, 250, 233, 213, 212, 229, 245, 22, 35, 43, 37, 26, 249, 233, 213, 213, 231, 247, 25, 37, 44, 37, 25, 247, 231, 211, 209, 227, 243, 24, 39, 52, 48, 36, 0, 236, 206, 200, 213, 229, 14, 34, 58, 58, 35, 15, 249, 209, 197, 198, 211, 253, 22, 59, 67, 55, 37, 14, 221, 202, 188, 194, 230, 255, 45, 61, 67, 56, 38, 245, 221, 189, 186, 207, 228, 23, 47, 72, 71, 60, 17, 247, 201, 187, 189, 203, 249, 20, 61, 71, 71, 44, 21, 225, 204, 184, 188, 222, 247, 42, 60, 72, 63, 47, 254, 229, 191, 184, 198, 218, 12, 36, 68, 71, 64, 28, 4, 212, 195, 188, 198, 238, 7, 51, 64, 63, 51, 31, 239, 217, 190, 189, 213, 234, 26, 46, 66, 63, 52, 11, 244, 205, 195, 200, 213, 255, 21, 54, 61, 60, 35, 15, 228, 211, 196, 200, 229, 250, 34, 49, 57, 50, 36, 254, 235, 207, 203, 214, 228, 9, 26, 40, 51, 46, 20, 2, 224, 213, 208, 215, 244, 5, 35, 43, 46, 34, 21, 246, 232, 215, 214, 228, 241, 15, 27, 37, 39, 33, 9, 250, 226, 220, 221, 229, 253, 9, 21, 33, 34, 23, 13, 246, 236, 225, 226, 237, 247, 2, 20, 26, 26, 22, 6, 252, 236, 232, 232, 237, 252, 4, 12, 23, 24, 19, 12, 253, 245, 235, 234, 240, 246, 5, 11, 16, 19, 18, 8, 2, 246, 241, 238, 240, 249, 255, 5, 15, 17, 16, 12, 1, 250, 241, 239, 241, 244, 249, 4, 10, 17, 17, 12, 7, 251, 245, 238, 239, 241, 251, 2, 13, 17, 18, 15, 4, 253, 242, 238, 238, 242, 247, 4, 10, 18, 19, 13, 7, 249, 243, 237, 237, 241, 253, 3, 15, 19, 18, 14, 1, 250, 238, 236, 236, 243, 250, 9, 15, 21, 20, 10, 3, 244, 239, 237, 239, 244, 2, 9, 18, 20, 15, 10, 251, 244, 238, 235, 238, 250, 2, 15, 19, 19, 15, 2, 251, 244, 237, 237, 245, 251, 8, 14, 19, 17, 7, 1, 244, 239, 237, 241, 247, 4, 10, 18, 18, 12, 6, 250, 244, 240, 240, 243, 254, 4, 15, 17, 15, 10, 253, 247, 242, 239, 240, 249, 0, 11, 15, 16, 13, 3, 254, 244, 242, 241, 246, 251, 6, 11, 15, 15, 7, 2, 246, 243, 241, 243, 247, 2, 7, 14, 15, 11, 6, 252, 248, 243, 244, 245, 253, 2, 10, 13, 11, 8, 255, 250, 244, 243, 244, 251, 255, 8, 11, 12, 10, 3, 255, 247, 245, 245, 249, 252, 5, 8, 11, 10, 4, 0, 249, 246, 245, 248, 251, 2, 6, 11, 11, 8, 4, 252, 249, 246, 245, 248, 255, 3, 9, 11, 8, 6, 254, 250, 247, 245, 246, 252, 0, 7, 10, 10, 9, 2, 255, 248, 246, 246, 250, 253, 4, 7, 9, 8, 4, 1, 251, 249, 248, 249, 251, 1, 4, 8, 8, 6, 3, 254, 252, 250, 250, 251, 255, 1, 4, 4, 3, 2, 255, 254, 253, 253, 253, 255, 0, 2, 3, 2, 2, 0, 255, 254, 254, 254, 0, 0, 2, 2, 0, 0, 254, 254, 254, 255, 0, 1, 2, 3, 3, 1, 0, 254, 253, 253, 254, 1, 3, 4, 4, 3, 0, 254, 251, 251, 252, 254, 2, 3, 5, 6, 6, 2, 0, 251, 249, 1, 6, 7, 7, 5, 255, 252, 248, 248, 250, 252, 3, 5, 8, 9, 8, 3, 0, 249, 247, 247, 249, 0, 3, 7, 10, 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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
    
    samplesDecoded = processBpfTwoComplement(samples, '8bit')
    
    x = np.arange(samples.size)
    
    fig = plt.figure()
    ax1 = fig.add_subplot(211)
    ax1.plot(x[210:350], samples[210:350])
    ax1.axhline(y=128, color='r', linestyle='--')
    
    ax2 = fig.add_subplot(212, sharex = ax1)
    ax2.plot(x[210:350], samplesDecoded[210:350])
    

  • 请注意,本文内容源自机器翻译,可能存在语法或其它翻译错误,仅供参考。如需获取准确内容,请参阅链接中的英语原文或自行翻译。

    你好、Xibei、

    感谢您提供信息。 如果使用 DSP、BPF 是第一级、因此很可能不足以消除您在该信号上引用的其他干扰。 如果您看一下 PGA460的方框图、信号仍有额外的处理来消除这种称为伪影的额外噪声。

    此致!

    艾萨克

  • 请注意,本文内容源自机器翻译,可能存在语法或其它翻译错误,仅供参考。如需获取准确内容,请参阅链接中的英语原文或自行翻译。

    你好,Isaac!

    我不同意。 我们看到的现象看起来不像噪声。

    让我们考虑您提供的系列中的一个半波在249至254的指数范围内采样。 无符号字节值为[48,118,130,103、68、 23]的情况下运行。 当我们将这些值绘制为无符号 int 时、我们可以看到漂亮的半波。

    解码的二进制补码值为[48,118、-126,103、68、 23]的情况下运行。 这个值-126看起来不像噪声值,而是伪差。 它太大了、不会产生噪声。 当我们绘制这些值时、 采用半波设计! 这个值似乎等于130。

    您说过 BPF 是信号处理的第一个阶段。 下一个阶段是整流器。 在本例中、实际的整流器输出是:[48,118,130,103、68、 23]或[48,118,126,103、68、 23]? 我觉得126输出是错误的。 是的、将移除伪影、但整流器的输出将被拧紧。

    我认为真实数据可以使用第一个导数分析来恢复。 0th 值保持不变、按如下方式处理所有其他项。

    假设所有样本都是无符号字节、我们计算差值的两种变体。 第一个是第 i 个样本和第 i 个样本(I-1)次采样之间的简单差值、第二个是第 i 个样本减去(I-1)第 h 个样本减去256个样本。 现在、我们选择绝对值较小的差值。 恢复的第 i 个样本将是(I-1)第次采样和所选差值之和。 还原代码如下所示。

    def restore(samples, width):
        width = 8 if width == '8bit' else 12
        restored = np.copy(samples)
        for i in range(1, restored.size):
            diff1 = samples[i] - restored[i-1]
            diff2 = samples[i] - (1 << width) - restored[i-1]
            absDiffList = [np.abs(diff1), np.abs(diff2)]
            diff = [diff1, diff2][absDiffList.index(min(absDiffList))]
            restored[i] = restored[i - 1] + diff
        return restored

    您可以比较下方子图上的蓝色和橙色曲线。 得到最大峰值为-139和139的良好波。

  • 请注意,本文内容源自机器翻译,可能存在语法或其它翻译错误,仅供参考。如需获取准确内容,请参阅链接中的英语原文或自行翻译。

    你好、Xibei、

    感谢您提供信息。 我看到你在这里的意思,我是误解你的意思是神器。 使用带符号的二进制补码可能不是数据的正确转换。 但是、如果不放大数据、对有符号的二补码实现似乎是有意义的。 您能否在下方用橙色显示您的实施方案的整个数据集?

    我正在与数字设计团队核实不同阶段输出何种数据、以确保我们进行了适当计算。 我会在他们提供更多信息后回复您。

    此致!

    艾萨克

  • 请注意,本文内容源自机器翻译,可能存在语法或其它翻译错误,仅供参考。如需获取准确内容,请参阅链接中的英语原文或自行翻译。

    你好,Isaac!

    我已经在您提供的 Excel 工作表中添加了新列"已恢复"。 此列实现了我提供的算法。 二进制补码和恢复的序列绘制在同一图形上。

    PGA460直接数据突发原始 data.xlsx

  • 请注意,本文内容源自机器翻译,可能存在语法或其它翻译错误,仅供参考。如需获取准确内容,请参阅链接中的英语原文或自行翻译。

    你好、Xibei、

    感谢您提供的信息! 我还在等待数字设计团队的回复。 可能需要一些时间、因为熟悉此设计的设计师不在办公室。

    此致!

    艾萨克