含有数字语音处理的各种常见现象和应该注意的问题

This design guide helps system designers of galvanically isolated systems to begin designing with TI's broad portfolio of digital isolators and isolated functions in the shortest time possible

ASTRO XTL5000 Digital Mobile Radio Basic Service Manual

MATLAB 钢琴代码"#digital-piano-synthesizer-with-ADSR-" 这个文件包含一个 Matlab 代码，它创建了 matlab 应用程序钢琴合成器。 此文件中的按钮更改每个音符（钢琴音符）的频率。 钢琴音符基于正弦函数。 这是每个音符不同频率的链接：在此处附加的文件 .ZIP 中，您将找到一个合成器，它通过将 MIDI 文件转换为音频文件并使用我的功能“SOUNDPLAY”播放音频来播放 MIDI 文件，我使用了一个我从 PS 获取的外部库。 该库附加在 MATLABDSO.ZIP 文件中为了运行该项目：您需要：将 .ZIP 文件夹中的所有文件和子文件添加到路径中，然后您需要在命令行中写入：“appdesigner DspProject "这将打开matlab的appdesigner。 如果您有任何问题，请联系我，享受它:) 添加了音高检测，使用自动协调、高斯滤波器、FFT、零交叉以暗示钢琴音符识别。 您需要加载音频文件 (.mp3)，然后单击 .mlapp 文件右侧的播放按钮。 版权所有 (c) Winter - 2019 Sally Dabbah

pyDigitalWaveTools 用于VCD和其他数字波形文件操作的python库 功能清单 将VCD（std 2009）文件解析为中间格式 写入VCD文件，用于用户类型的用户指定格式器，用于矢量，位和枚举值的预定义格式器 将中间格式转储为简单的json 您好pyDigitalWaveTools 这是一个如何使用VCD解析器的简单示例： #!/usr/bin/env python3 import json import sys from pyDigitalWaveTools . vcd . parser import VcdParser if len ( sys . argv ) > 1 : fname = sys . argv [ 1 ] else : print ( 'Give me a vcd file to parse' ) sys . exit

上海交大用得教材，原版是英文版的，这个是对应的中文版，第三章到第九章，我也就能找到这些咯，希望对大家有帮助~~

Udo Zolzer Technical University of Hamburg-Harburg,Germany

Principles of Digital Communication（前三章） 作者Robert G. Gallager 1 Introduction to Digital Communication 2 Coding for Discrete Sources 3 Quantization 4 Source and Channel Waveforms 5 Channels, PAM, and QAM

因为之前传的那个压缩包有问题，现在把各个章节分开再传。 本压缩包包含的内容是ImageProcessing12-ColourImageProcessing,ImageProcessing13-Revision

The fourth edition of Advanced Digital Signal Processing and Noise Reduction updates and extends the chapters in the previous edition and includes two new chapters on MIMO systems, Correlation and Eigen analysis and independent component analysis. The wide range of topics covered in this book include Wiener filters, echo cancellation, channel equalisation, spectral estimation, detection and removal of impulsive and transient noise, interpolation of missing data segments, speech enhancement and noise/interference in mobile communication environments. This book provides a coherent and structured presentation of the theory and applications of statistical signal processing and noise reduction methods. Two new chapters on MIMO systems, correlation and Eigen analysis and independent component analysis Comprehensive coverage of advanced digital signal processing and noise reduction methods for communication and information processing systems Examples and applications in signal and information extraction from noisy data Comprehensive but accessible coverage of signal processing theory including probability models, Bayesian inference, hidden Markov models, adaptive filters and Linear prediction models