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yuyinxinhaochuli
- 语音处理是信号与信息处理的重要内容之一，通过本课程设计，使学生理解数字信号处 理的有关理论和方法在语音处理中的具体应用。课程设计的目的归纳如下： 1、掌握语音信号的特点； 2、掌握语音处理的基本理论和方法； 3、掌握基于Matlab编程实现语音的获取、显示、频谱分析、短时能量、短时自相关以及倒 谱复倒谱的分析方法； 4、掌握语音基音频率及共振峰频率的检测方法。-Signal and speech processing is an important part of inf
KN_rank_estimation
- 在阵列信号处理中，信号源个数的估计是一个重要问题，文献和代码给出了基于随机矩阵理论的阵列信号个数的非参检测。-In array signal processing, the estimate of the number of signal source is an important issues, documentation and code give an non-parametric detection of array signal number based on random mat
FORTRANXZB
- matlab生成地震信号处理的雷克子波，常用来加噪之后检测算法.-generating seismic signal processing matlab Ricker wavelet, used to increase noise after detection algorithm.
PCMTITEST2011
- 雷达信号脉压及动目标检测仿真，包括三个动目标和一个静目标。-Radar signal pulse pressure and moving target detection simulation, including three moving target and a stationary target.
singleTR_mimo
- 探测信号为单个信号的被动时反通信MATLAB仿真，可以直接把探测信号扩展成LFM。-Passive detection signal when a single signal for the anti-communications MATLAB simulation, can be directly extended to detect signals into LFM.
pitch_Oct
- 语音信号的基音检测与估计对信号的估计具有重要作用。用不同方法进行基音检测-Pitch detection signal and the estimated speech signal estimate plays an important role. Pitch detection using different methods
FM
- 首先利用载波对信号进行调制，采用FM的调制方式 利用包络检波的方式解调-Firstly, the carrier signal is modulated using FM modulation using envelope detection demodulates
lser-radar
- 激光雷达是以发射激光束探测目标的位置、速度等特征量的雷达系统。从工作原理上讲，与微波雷达没有根本的区别：向目标发射探测信号(激光束),然后将接收到的从目标反射回来的信号(目标回波)与发射信号进行比较,作适当处理后,就可获得目标的有关信息,如目标距离、方位、高度、速度、姿态、甚至形状等参数,从而对飞机、导弹等目标进行探测、跟踪和识别。本程序为FMCW激光雷达matlab程序，包括调频非线性校正等。-Laser emitting a laser beam radar detection is the
1234
- 激光雷达是以发射激光束探测目标的位置、速度等特征量的雷达系统。从工作原理上讲，与微波雷达没有根本的区别：向目标发射探测信号(激光束),然后将接收到的从目标反射回来的信号(目标回波)与发射信号进行比较.本程序为FMCW激光雷达matlab程序，包括调频非线性校正等-Laser emitting a laser beam radar detection is the target position, velocity, volume and other characteristics of the
checkTheCardNumber
- 财务应用程序，检测信号用卡的账号是否合法，应用Mod10检测-Financial applications, the detection signal card account is legitimate, the application Mod10 detection
Continuous-Sound-card-input
- 从声卡读取信号，简易示波器，最高探测频率至96kHz-Reads the signal from the sound card, simple oscilloscope, the maximum detection frequency to 96kHz
9MATLABCHULIXIN
- 第9章共振峰的估算方法259 9.1预加重和端点检测259 9.1.1预加重259 9.1.2端点检测260 9.2倒谱法对共振峰的估算260 9.2.1倒谱法共振峰估算的原理260 9.2.2倒谱法共振峰估算的MATLAB程序261 9.3LPC法对共振峰的估算262 9.3.1LPC法共振峰估算的原理262 9.3.2LPC内插法共振峰的估算263 9.3.3LPC求根法共振峰的估算266 9.4连续语音LPC法共振峰的检测268 9.4.1简
DS-BPSK-QPSK-8PSKaddtointeference
- 在MIMO系统中，存在干扰的情况下，利用证据理论的方法在BPSK,QPSK,8PSK的调制下进行MIMO信号检测，并比较检测结果-In MIMO systems, the presence of interference, the use of the theory of evidence method BPSK, QPSK, 8PSK for Detection in MIMO modulation signal, and compare the detection result
MatlabFiles
- 宽带雷达的检测模型,包括扩展目标模型、线性调频信号和脉冲压缩-Wideband radar detection model,including the distance extended target, the Linear Frequency Modulation signal and pulse compression
Energy_detector_t
- energy detection is the most common type of spectrum sensing because it is easy to implement and requires no prior knowledge about the primary signal
MTI_MTD_CFAR
- 仿真了雷达系统中信号产生、回波信号、脉冲压缩、MTI、MTD与恒虚警检测的过程。-Simulated radar signal generation system, the echo signal, pulse compression, the process of MTI, MTD and CFAR detection.
ca_cfar
- ,在强干扰中提取信号,不仅要求有一定的信噪比,而且必须对信号作恒虚警处理.在自动检测系统中,对一定的检测门限来说,当干扰电平增大几分贝,虚警率就会大大增加,致使显示器画面饱和或计算机过载,这时即使有足够大的信噪比,也不可能做出正确的判决.为此在自动检测雷达中,必须具备恒虚警处-, extracting signal in strong interference, not only requires a certain signal-to-noise ratio, and must make co
psk_demod
- 该工程实现了BPSK信号的盲解调 用于非合作通信侦查和解调-The project implements the BPSK signal demodulation for blind detection and demodulation of non-cooperative communication
xin
- 对仿真信号进行时频分析，单峰检测，脊线提取，脊线拟合，计算脊线波动方差，从而判断信号类别。本次仿真采用的是线性调频信号，对其他信号也具有适用性。对仿真信号进行时频分析，单峰检测，脊线提取，脊线拟合，计算脊线波动方差，从而判断信号类别。-The time-frequency analysis of the simulation signal, unimodal detection, ridge line extraction, ridge line fitting, fluctuation var
matlab
- matlab 读取一段wav格式文件，进行试听，频率检测和语音信号的分析，再进行噪声处理，IIR低通滤波，IIR高通滤波，FIR低通滤波，FIR高通滤波，最后输出处理过的语音信号并试听处理过的语音文件。-Matlab read a wav format file, audition, frequency detection and analysis of speech signals, and noise, IIR low pass filter, IIR high pass filter, F