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rt_lpc is a light-weight application that performs real-time LPC analysis and synthesis. It features the following:
real-time LPC analysis
real-time LPC synthesis
visualization of original, predicted, and error waveforms
visualization
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近几年来，在自然语言处理、信号处理、随机过程处理等方法的推动下，语音分析与合成技术获得了很大的发展，突破了传统的单纯语音计算算法的研究。情感语音分析与合成的研究，适应了语音技术的未来发展趋势,由于它能够很好的将语音的口语分析、情感分析与计算机技术有机的融合，为实现以人为本，具有个性化特征的语音合成系统，奠定基础。-STRAIGHT[1] is a high-quality speech analysis, modification and synthesis system based on a
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过采样近似完全重构 DFT 调制滤波器组的设计。首先,分析了传递函数和
混叠传递函数的性质，给出了因果 FIR DFT 调制滤波器组的系统延迟与线性相位
分析和综合原型滤波器阶数的关系。随后，过采样近似完全重构 DFT 调制滤波器
组的设计问题被描述为一个非凸优化问题。-Near perfect reconstruction oversampled DFT modulated filter design. First, the analysis of the transfer fun
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近完美重构多相滤波器组实例，包含分析滤波器，综合滤波器，其中原型滤波器系数可调整，以及重构错误的仿真。-Near perfect reconstruction polyphase filter example, contains analysis filters, synthesis filters, which can adjust the prototype filter coefficients, and the reconstruction error is simulated.
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The MATLAB file implements a Linear Predictive (LP) analysis and synthesis system for speech. There is an additional functionality of (i) Bandwidth Modification (ii) Denoising Filter
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A short-time analysis-synthesis system for speech is developed in MATLAB using the Filter Bank Summation (FBS) method. Provision for different sampling rates at analysis and synthesis means rate change can be carried out.
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此方案基于全极点语音产生模型，编码过程简述如下：首先通过线性预测分析方法提取声道滤波器参数；其次通过合成分析法确定最佳激励矢量；最后将滤波器参数和最佳激励矢量进行编码传输。-This program is based on all-pole speech production model, the encoding process summarized as follows: First, by linear prediction analysis to extract channel filt
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1.题目：数字滤波器的设计与应用
2.设计要求：利用 Matlab 软件,以复合信号分离为例,对 “数字信号处理” 课程中
的谱分析 、数字滤波器设计和信号滤波这三个过程进行了仿真实现,给出了仿真结果。
3.具体步骤：
（1）构造原始信号s(t)
（2）画出s(t)的频谱
（3）设计ellipse数字滤波器(IIR)，包括低通，带通，带通，并显示幅频特性
（4）用得到的滤波器进行滤波，分离出三路信号，观察时域波形和幅频特性
（5）用三路信号s1,
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分析并综合了联邦滤波算法，以及该算法存在的问题，提出了针对观测信息不足的情况下的算法-Analysis and synthesis of the federated filtering algorithm, as well as the problems of the algorithm is proposed for the observed absence of sufficient information the algorithm
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本文分析了语音数字信号的采集来源以及其预处理。通过实例，利用Matlab对语音信号进行时频变换与分析，同时构造一个固定频率的干扰信号，对两个信号进行合成，设计数字滤波器，实现对语音信号的F IR、IIR滤波处理，最后在时域和频域中对信号进行分析比较。-This paper analyzes the sources of voice digital signal acquisition and its pretreatment. By example, voice signals using Ma
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正交镜像滤波器的设计，从正交镜像滤波器的远离出发设计,而且从结果中观察其相位和幅度。- Design a two-channel QMF filter bank
The four filters in the filter bank are based on a lowpass prototype H(z)
which is designed by this procedure. The analysis filters are HL(z) and
HH(z) and the
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straight是一个高质量的语音识别、转换、合成工具，构建于matlab编程工具。-STRAIGHT[1] is a high-quality speech analysis, modification and synthesis system based on a simple channel
VOCODER concept (in other words a source filter model).
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SPTK是一套语音信号处理工具为UNIX环境中,如LPC分析,PARCOR分析、LSP分析,PARCOR合成过滤器,LSP合成过滤器,矢量量化技术,以及其他扩展的版本。-SPTK is a suite of speech signal processing tools for UNIX environments, e.g., LPC analysis, PARCOR analysis, LSP analysis, PARCOR synthesis filter, LSP synthesis fi
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MATLAB iMPLEMENTATiON OF A MULTiRATE FiLTER BANK,
Analysis Filter Bank and Synthesis Filter Bank.
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This routine returns the coefficients of the 𝑁 -coefficient symmetric prototype filter 𝐻 (𝑧 ). The coefficients are normalized to have energy 1/2. When the analysis and synthesis filters are configured as shown above, the overall
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WFB2DEC 2-D Wavelet Filter Bank Decomposition
y = wfb2dec(x, h, g)
Input:
x: input image
h, g: lowpass analysis and synthesis wavelet filters
Output:
x_LL, x_LH, x_HL, x_HH: Four 2-D wavelet subbands
Make sure filt
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《MATLAB在语音信号分析和合成中的应用》MATLAB程序中的维纳滤波完整代码-"Wiener filter complete code" MATLAB application in speech signal analysis and synthesis in the MATLAB process
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完全重构以及近似完全重构滤波器组设计程序。
-The goal is to design M analysis and synthesis FIR filters so that the analysis filters satisfy some frequency specifications and the filter bank(almost) meets the perfect reconstruction (PR) conditions.
The algorithm can
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The Large Time-Frequency Analysis Toolbox-The Large Time/Frequency Analysis Toolbox (LTFAT) is a Matlab/Octave toolbox for working with time-frequency analysis and synthesis. It is intended both as an educational and a computational tool. The toolbox
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利用MATLAB执行LPC分析和合成语音文件和显示原始语音信号通过滤波,提取LPC的错误(激发)信号,然后使用逆LPC的滤波误差信号,可以完全恢复原始语音信号。-This MATLAB exercise performs LPC analysis and synthesis on a speech file and shows that by filtering the original speech signal, extracting the LPC error (excitation) s
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