搜索资源列表
anoisebchgood
- 这是对音频新训好进行bch编码后加入噪声的程序-This is the new audio training good for BCH joined noise coding procedures
bcnoiseyouse
- 这是对音频新训好进行bch编码后加入有色噪声的程序-This is the new audio training good for BCH adding color coding procedures noise
adaptive_LMS
- 自己写的基于LMS的自适应噪声抵消,例子是对一WAV声频信号去噪,效果不错,对这方面感兴趣的可以-wrote based on the LMS adaptive noise cancellation, for example, is a WAV audio signal denoising. good results, with interested can s
adaptive_LMS_cancel
- 基于基本LMS的自适应噪声抵消程序,对一音频信号去噪,效果不错-based on the basic LMS adaptive noise cancellation procedures, an audio signal denoising good results
DSP2
- DSB-SC信号的生成与解调 1) 用离散（DSP）的方法生成DSB信号 2) 载波频率为150KHz，音频为500Hz和2000Hz的混合音。 3) 加入高斯白噪声 （4） 语音信号 的传输。 改变抽样频率和量化台阶大小，观察重建信号以及量化噪声信号的波形；对于语音信号主观评价声音质量的变化。 -DSB-SC signal generation and demodulation 1) Discrete (DSP) methods to generate DSB signal 2) the ca
nmf
- 一段通过nmf做音频分离的程序，可以把男声和女声分离，并且降低噪音-Separated by nmf do some audio program that can separate the male and female, and lower noise
BispectrumWavelets
- 用双谱和小波变换去除信号中加性高斯噪声的相关程序 1.实现单个变量的双谱分析程序 2.用傅立叶反变换求自相关函数的程序 3.用fft求取喜好频谱、功率谱、均方根谱、对数谱的程序 4.读取.wav语音信号后用小波去加信白噪声的程序 5.用各种小波和阀值对同一信号去加性噪声效果比较的程序 -Double-spectral and wavelet transform to remove the signal plus Gaussian noise procedures 1. T
Matlab-Wavelet-Denoise-Compress
- Matlab-Wavelet-Denoise-Compress.关于小降噪的练习，很好的应用！-Matlab-Wavelet-Denoise-Compress. The practice of small noise, a very good application!
vuvuzela_sound_cancelation
- Based on the spectrum of the vuvuzela sound, this denoising technique simply computes an antenuation map in the time-frequency domain. Then, the audio signal is restored by computing the inverse STFT. See [1] or [2] for more detail about the algorith
video_filtering
- 语音文件中有单频噪声，设计高频滤波器和低频滤波器进行语音滤波-Audio files with a single frequency noise, high frequency filters and low-frequency filter design for voice filtering
Audio-Watermarking-in-DCT
- 本文在DCT噪声信号模型研究的基础上,提出了一种新的音频水印嵌入位置选择策略和一个应用该策略的自适应音频水印算法. 通过定义DCT系数的噪声敏感度,建立了水印嵌入位置和嵌入水印后的音频信号的听觉感知性之间的关系,根据音频水印的不可听性的要求选择最优的嵌入位置,然后调节水印强度来满足鲁棒性的要求,从而最大程度地保持音频水 印的不可听性和鲁棒性,为解决音频水印嵌入过程中不可听性和鲁棒性之间的矛盾提供了一种策略.-Though m any w orks in the literature agre
MP3-watermarking
- ：针对MP3 编码方式和帧结构进行分析，利用帧中的比例因子提出了一种压缩域水印算法。算法通过引入帧变化分析步 骤，很好地实现了水印的自适应嵌入。对于不同的系统要求，还可以通过修改门限信噪比的值SNRlim按需进行水印嵌入，使算法 具有更大灵活性。同时在牺牲一定的嵌入空间前提下，实现了水印信息的自同步。实验表明，对于不同风格的音乐，该水印算法 具有很好的不可听性。-In this paper，the encoding method and the frame structure of
lsb-watermarking-recover
- Briefly with the following code I will try to embed the MSB of the baboon image into the picture of Lena by exploiting the LSB embedding technique. We will try also to add an WGN (white gaussian noise) to the image then after these operations we will
ICA
- 独立分量分析（ICA）以非高斯源信号为研究对象，在统计独立的假设下，对多路观测到的混合信号进行盲信号分离，已广泛应用于无线通信、生物信号提取、语音信号处理、图像处理和噪声抑制等领域。 -The independent component analysis (ICA) addresses non-Gaussian source signals under amusing independent each other, it performs blind separation for multi-c
matlab-noise
- 给一个受污染的声音文件用滤波器用matlab消除噪声-Give a contaminated audio files using filter to remove noise
audio-compression-program
- 音频无损压缩程序，加入随机噪声，利用前向预测算出预测误差，再用熵编码，组帧，最后解码-Lossless audio compression program, by adding random noise to the prediction error is calculated using the forward prediction, and then entropy coding, framing, and finally decoding
noise
- 用matlab处理音频, 对一段音频加入噪声然后滤除噪声还原, 绘制过程中的频谱图-Matlab deal with audio, for adding some audio noise reduction and filter noise, rendering the process of spectrum
Audio-denoising-deepa
- 1. Extract files and run Audio_denoise_main.m file folder... 2. Click on Load & play Audio file and Original sound.wav file 3. Then using slider AWGN (White gauusion noise)...it is vary 1 to 10 set it to 10.. 4. now click on Add Noise and play.
noise_reduction
- 设计音频降噪算法，并用MATLAB仿真实现。 1）读入一段音频后添加噪声，必须包括两种不同的噪声，信噪比：0dB~10dB； 2）分别采用滑动平均滤波器，直接频域滤波，以及谱分析后设计滤波器滤波三种方法实现，并对比效果。 3）给出各种方案的设计依据、代码、频响曲线，以及输入输出对比图。-Audio noise reduction algorithm design, and use MATLAB Simulation. 1) Read after adding noise int
Audio-Analysis
- Audio Analysis Design functions performing particular tasks such as recording voice, plot it as a function of time and add random noise to it.