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mixed-signal

dspc語言程序實現iir濾波器

設計中使用的信號為信息信號： signal=sin(2*pi*sl*n*T) 高頻噪聲： noise =0.5*sin(2*pi*ns1*n*T) 混合信號： x=(signal+noise) 其中sl=1000Hz，ns1=4500Hz，T=1/10000?；旌闲盘柌ㄐ螢闉V波器輸入信號波形，信息信號波形為輸出信號波形，濾波器的效果為濾除兩個高頻噪聲。

標簽： dspc iir 語言程序濾波器

上傳時間： 2016-05-08

上傳用戶：梅浩梅浩
advanced signal

jiaocao yongyu tongxingongcheng xinhao xuexi

標簽： advanced signal

上傳時間： 2016-06-07

上傳用戶：sz869
Microphone Arrays : A Tutorial

This report presents a tutorial of fundamental array processing and beamforming theory relevant to microphone array speech processing. A microphone array consists of multiple microphones placed at different spatial locations. Built upon a knowledge of sound propagation principles, the multiple inputs can be manipulated to enhance or attenuate signals emanating from particular directions. In this way, microphone arrays provide a means of enhancing a desired signal in the presence of corrupting noise sources. Moreover, this enhancement is based purely on knowledge of the source location, and so microphone array techniques are applicable to a wide variety of noise types. Microphone arrays have great potential in practical applications of speech processing, due to their ability to provide both noise robustness and hands-free signal acquisition.

標簽： Microphone array Tutorial Array Signal Processing

上傳時間： 2016-06-12

上傳用戶：halias
傳感器網絡中基于到達時間差有效的凸松弛方法的穩健定位

We consider the problem of target localization by a network of passive sensors. When an unknown target emits an acoustic or a radio signal, its position can be localized with multiple sensors using the time difference of arrival (TDOA) information. In this paper, we consider the maximum likelihood formulation of this target localization problem and provide efficient convex relaxations for this nonconvex optimization problem.We also propose a formulation for robust target localization in the presence of sensor location errors. Two Cramer-Rao bounds are derived corresponding to situations with and without sensor node location errors. Simulation results confirm the efficiency and superior performance of the convex relaxation approach as compared to the existing least squares based approach when large sensor node location errors are present.

標簽： 傳感器網絡

上傳時間： 2016-11-27

上傳用戶：xxmluo
TMS320VC5416-DSK-example

A simple example of audio signal processing on TMS320VC5416 USB DSK board. Main source is contained in tone.c file, memory configuration - tonecfg.cmd. Folder docs/ contains useful docmentation on board, its components and libraries. The example's configuration is based on example "tone" from Code Composer Studio's 3.1 example for 5416 DSK.

標簽： DSK-example 5416 TMS 320 VC

上傳時間： 2017-09-29

上傳用戶：wang1104014663
基于頻率插值的4.0kbps 語音編碼器的性能和設計（英文）

The 4.0 kbit/s speech codec described in this paper is based on a Frequency Domain Interpolative (FDI) coding technique, which belongs to the class of prototype waveform Interpolation (PWI) coding techniques. The codec also has an integrated voice activity detector (VAD) and a noise reduction capability. The input signal is subjected to LPC analysis and the prediction residual is separated into a slowly evolving waveform (SEW) and a rapidly evolving waveform (REW) components. The SEW magnitude component is quantized using a hierarchical predictive vector quantization approach. The REW magnitude is quantized using a gain and a sub-band based shape. SEW and REW phases are derived at the decoder using a phase model, based on a transmitted measure of voice periodicity. The spectral (LSP) parameters are quantized using a combination of scalar and vector quantizers. The 4.0 kbits/s coder has an algorithmic delay of 60 ms and an estimated floating point complexity of 21.5 MIPS. The performance of this coder has been evaluated using in-house MOS tests under various conditions such as background noise. channel errors, self-tandem. and DTX mode of operation, and has been shown to be statistically equivalent to ITU-T (3.729 8 kbps codec across all conditions tested.

標簽： frequency-domain interpolation performance Design kbit_s speech coder based and of

上傳時間： 2018-04-08

上傳用戶：kilohorse
bpsk調制的仿真

用matlab實現bpsk調制用randi函數產生10000個0、1隨機數，對原信號signal進行判斷，若為0，則生成調制信息1，若為1，則生成調制信息-1，從而實現BPSK調制。

標簽： bpsk 調制仿真

上傳時間： 2018-04-25

上傳用戶：yyqqyy
qpsk仿真

利用randi函數產生10000個0、1隨機數，對原信號signal進行分類每兩個相鄰隨機數作為新信息SIGNAL并進行判斷，若為0，則生成調制信息1+i，若為1，則生成調制信息-1+i，若為2，則生成調制信息-1-i，若為3，則生成調制信息1-i，從而實現QPSK調制

標簽： qpsk 仿真

上傳時間： 2018-04-25

上傳用戶：yyqqyy
BTS50_datasheet

The BTS5016SDA is a one channel high-side power switch in PG-TO252-5-11 package providing embedded protective functions. The power transistor is built by a N-channel vertical power MOSFET with charge pump. The design is based on Smart SIPMOS chip on chip technology. The BTS5016SDA has a current controlled input and offers a diagnostic feedback with load current sense and a defined fault signal in case of overload operation, overtemperature shutdown and/or short circuit shutdown.

標簽： datasheet BTS 50

上傳時間： 2019-03-27

上傳用戶：guaixiaolong
短時過零率和短時能量

% Computation of ST-ZCR and STE of a speech signal. % % Functions required: zerocross, sgn, winconv. % % Author: Nabin Sharma % Date: 2009/03/15 [x,Fs] = wavread('so.wav'); % word is: so x = x.'; N = length(x); % signal length n = 0:N-1; ts = n*(1/Fs); % time for signal % define the window wintype = 'rectwin'; winlen = 201; winamp = [0.5,1]*(1/winlen);

標簽： 短時過零率和短時能量

上傳時間： 2019-09-23

上傳用戶：minwenji