Linear Predictive Coding for Stock Market Forecasting
Linear predictive coding (LPC) is a tool used mostly in audio signal processing and speech processing for representing
the spectral envelope of a digital signal of speech in compressed form, using the information of a linear predictive model.
New - White Papers
High Capacity Wavelet Watermarking Using CDMA Multilevel Codes
This paper proposes a technique based on CDMA
and multilevel coding in order to achieve a high capacity
watermarking scheme. The bits of watermark are grouped
together and for each sequence a different modulation coefficient
is used.
New - Software References
Papers and lectures
A list of papers that included Advanced Source Code .Com in the references section. If you have written a paper where our software is cited in the references list please email us and your work will be published at our web site.
New - WebCam Face Identification
Face Recognition Based on Fractional Gaussian Derivatives
Local photometric descriptors computed for interest regions have proven to be very successful in applications such as wide baseline matching, object
recognition, texture recognition, image retrieval, robot localization, video data mining, building panoramas, and recognition of object categories.
New - FFW Fastest Filtering in the West
Fast
convolution and filtering for 2D images Convolution of time-domain functions is equivalent to multiplication of
their Fourier transforms. Due to the efficiencies of the fast Fourier transform algorithm, the latter is often done
to maximize the speed of a signal filtering task. In the frequency domain, block-processing is required.
New - Speaker Recognition System
Source
code for speaker recognition Speaker recognition is the process of automatically recognizing who
is speaking on the basis of individual information included in speech
waves.
New - Speech Recognition System
Source
code for isolated words recognition Speech recognition technology is used
more and more for telephone applications like travel booking and
information, financial account information, customer service
call routing, and directory assistance. Using constrained
grammar recognition, such applications can achieve remarkably
high accuracy.