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26 Threads found on edaboard.com: Signal Classification
See discussion in your previous thread Using a soft processor like NIOS II for sensor signal processing seems more suitable then performing it in hard wired FPGA logic. It's still not clear what will be the specific purpose of a FPGA in your project. Is it in the "wireless" part?
Dear all, can anyone tell me the classification of diode.... as i am working on 10khz switching.. so i want to rectify 10 khz signal. so which diode will be better..?? ultrafast or schotty..?? and y..?? Looking forward to hearing you soon..!!
Hello all, I have generated digitally modulated signals such as ASK, FSK, PSK and I have done feature extraction for all these signals and saved those feature values in the database. Now when the tested signal is one of these signals, How do I set threshold value for these feature values to determine the feature value (...)
Hi guys I'm currently doing on project regarding speech recognition (on bird songs). I would like to ask what classification can easily done in MATLAB such as DTW, GMM, HMM, ANN, and so on? (perfer DTW) So far I've gotten the code for framing, windowing, and MFCC of input signal from: Besides that,
Dear all members, I am trying to use ICA for feature extraction of ECG signal , then use it for classification . neural network are widely used for classification , but problem is how to extract features with ICA , X = As , so how to select features . can some body help me out of this mess please.
In a classification problem, an output unit's task is to output a strong signal if a case belongs to its class, and a weak signal if it doesn't. In other words, it is attempting to model a function that has magnitude one for parts of the pattern-space that contain its cases, and magnitude zero for other parts. This is known as a (...)
Hi, I am working on classification of songs. I need a time vs. beat plot in matlab. If anybody has the code plz send it to visitarijit@gmail.com. I need it very much.
Can i get the Differences and similarities between I/O cells for Digital, Analog and Mixed signal circuits. It is basically a classification of the three types of I/O cells and their characteristics .
Hello, I am taking a parallel programming course with X10 language developed by IBM. We need to work on a parallel programming project for the whole semester. I am brainstorming from the first day of the class to come up with a project proposal. I would appreciate if anyone share some project ideas with me. My background is Electrical Engineer
hello i was if it is possible that you can help me in my project i was planning to make a device that is controlled using BCI but i am stuck with the analysis and i have a few questions that i would like to ask? i was implement this paper "classification OF MENTAL TASKS FROM EEG signalS USING EXTREME LEARNING MACHINE" 1)The EEG (...)
Hi, I'm doing ECG signal classification using Generalized Regression Neural Network in Matlab and I'm totally new to the ECG signal and Neural Network. So, could anyone tell me what should be the input parameters of ECG signal for GRNN? How the GRNN work? Thank you.
hi Help me how to design a RF POWER AMPLIFIER,Class E power amplifier for 2.4ghz(for Zigbee applications).the input signal is of MSK. The output power we need is 0dbm,VDD=3.3v,f=2.45Ghz. i am working in cadence 180nm there is a need of Drive Stage or not if it needs which classification we should use for output impedance matching,how
Is signal and wave are same or they differ from each other.
hello, im doing speaker recognition project. I already processed the input signal coming from my microphone,and done it with 13th coefficient of MFCC(mel-frequency cepstrum coeeficient). For recognition part, i decide to use neural network but i had problems with that part which is: 1)What the input should be in my neural network? Please h
Hi all, what is the purpose of Primary modulation? I know that some of the V/UHF has this primary modulation when we do the signal classification. Why do we need to first modulate the bit stream with FSK (secondary modulation) and then modulate the waveform again with indirect FM (primary modulation)? Appreciate it a lot if you can pr
hi everybody ! I am studying of Calculate time which signal transmitted from mobile to base station (BS) using some methods : TOA, DOA, TDOA. I need some Matlab Code about MUSIC algorithm , or Matrix Pencil algorithm. Please help me ! Thanhks alot.
Hello my friends I need these papers please help me to accesses them. Thanks for your help 1- "Time-domain tests for Gaussianity and time-reversibility" G. B. Giannakis and M. K. Tsatsanis, IEEE Trans. signal Process., vol. 42, no. 12, pp. 3460?3472, Dec. 1994. 2- P. Marchand et al., ?Multiple hypothesis modulation classification based on
hi please help in choosing which method is most efficient for the clasification of EEG signal. 1) neural network 2) ICA Is there any orther technique , please mnetion those...... best regards
we say class A amplifiers uses 100% of the input signal. and in class B less 50% or so is being used hence power efficiency is obtained.But in doing so only half of the input is processed and a major part of the information carrying signal is neglected,so in doing so are'nt we losing signal content ?
These classes describe power amplifiers .. Opamps don't fall into mentioned classification categories .. Amplifier classes Amplifier circuits are classified as A, B, AB and C for analog designs, and class D and E for switching designs. For the analog classes, each class defines what proportion of the input signal cycle (called the angle o
Hi all, Help would gladly be appreciated for the following: I have 3 time domain signals x1(t) = {1......N} x2(t) = {1......N} x3(t) = {1......N} I am applying classification techniques for the identification of these 3 signals, I'm just intrested in finding and learning out that how can I see these signals in (...)
I don't know whether the above is right. But you cover the signal in digital. There must contain the asynchronous signals.
Seeing Your Image under a signal Theory point of view, You can simply use methods like Fourier Descriptors. If You consider the Image how a stocasthic Process, You can apply methods like Supervisioned classification, but it's a bit difficult if You aren't expert on Matlab programming and Remote Sensing & Digital Image Processing. An other approa
Hi all, The concept of noise for training a particular system for signal classification. I am implementing a system, whereby the signals can and cannot be drowned in noise. From the network designed so far, I get excellent (well, almost excellent) results out from both training and simulation, when I have no noise to the inputs of the (...)
Clustering Analysis is used in pattern recognization and the Vector Quantization is used in the signal processing. Basically, use the clustering or VQ to represent the signal set belong to the particulr clustering. It is more efficient for signal compression.
Good paper classification of BPSK and QPSK signals with unknown signal level using the Bayes technique Liang Hong Ho, K.C. Dept. of Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA; This paper appears in: Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on Publication Date: 25-28 (...)