Yield Curve

Search metaengines aggregate results from multiple search engines and then post-process these results to yield new rankings and grouping patterns. One of the most successful of these metaengines - Clusty - aggregates the results of searches on multiple engines, then groups the results into... Platforms: OS X 10.4 and up with a copy of NoteTaker or NoteTaker Trial

From AppleLinks “I found that Data Recovery Guru works as effortlessly and elegantly as claimed, and that there is only the most minimal learning curve involved. Using it is simple and intuitive. It does indeed “just work”." In a similar m Platforms: Mac

This script is the same as InverseExtend, except it uses a yield for non-local flow of control.It iterates downward through a hierarchy calling a method at each step.Each parent class method *must* be a generator with exactly one yield statement (even if the yield statement never actually gets... Platforms: Windows, Mac, *nix, Python, BSD Solaris

The model relies on the theory of strength of least square curve fitting and auto regression techniques. Requirements: - MATLAB 7.5 or higher Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

Libecc is an Elliptic Curve Cryptography C library for fixed size keys in order to achieve a maximum speed.The goal of this project is to become the first free Open Source library providing the means to generate safe elliptic curves. Platforms: Windows, Mac, *nix, C/C++, BSD Solaris

Entity is an engine that allows you to build applications from XML with embedded scripting languages. Once interpreted, the XML nodes become objects which can be manipulated by various scripting languages. Supported languages include python, perl, tcl, javascript and C (compiled and loaded at... Platforms: CGI and Perl

This script simulates QPSK or 4-QAM modulation scheme in Rayleigh channel and compares it to theoretical limits.QPSK gives 3dB SNR degradation when compared to BPSK but twice as much throughput.I hope this will be helpful for students of wireless communication. Platforms: Matlab

This program performs a Monte Carlo simulation of a coherent QPSK communication system and plot the error probability performance over additive whit Gaussian noise channel. The detection is based on correlation metric. Simulation is performed for 10,000 bits and measurements are made accordingly. Platforms: Matlab

This function calculates the probability under the normal distribution curve, plots the graph and the area calculated.Normaldistribution calculating the area under a normal distribution curve from -ve infinity upto point x. Input: x : point on the normal distribution curve mean : mean of the... Platforms: Matlab

This file calculates BER for or a number of SNR values in Rayleigh Channel.Every BER value has been calculated for 100 errors for precision results.I hope script will help students. Platforms: Matlab

Computes BER v EbNo curve for convolutional encoding / soft decision Viterbi decoding scheme assuming BPSK.Brute force Monte Carlo approach is unsatisfactory (takes too long) to find the BER curve.The computation uses a quasi-analytic (QA) technique that relies on the estimation (approximate one)... Platforms: Matlab

random_band is the main program and it outputs a test signal which has a constant level. The instanatenous frequency varies randomly within the specified Nth octave band range.The program outputs three plots: time record of the instantaneous frequency, time record of the instantaneous level, and... Platforms: Matlab

It is a training with sinusoidal input signal to sinusoidal relaxation oscillator VI1 with simulink.Students in computer science can take input Asinwt and get variation A amplitude and frequency w=3.14*F and set curve input/output. Platforms: Matlab

Add, move and delete points to form a desired spectral curve.The result can be saved to workspace as linear or minimum phase FIR. Platforms: Matlab

The gradient function in Matlab allows you to compute the slope of a curve along its entire length. But if your curve is a noisy one, then gradient will also be noisy. In this event one might desire to fit a moderately low order polynomial regression model in a sliding window, then differentiate... Platforms: Matlab

The forced Duffing oscillator exhibits behavior ranging from limit cycles to chaos due to its nonlinear dynamics. When the periodic force that drives the system is large, chaotic behavior emerges and the phase space diagram is a strange attractor. In that case the behavior of the system is... Platforms: Matlab

clickfit_OH.m lets you mouse-click a series of datapoints on top of a (noisy) scatterplot and returns a spline or polynomial regression through the clicked dataseries. In addition the clicked series itself is returned.clickfit_OH.m uses an altered version of ginput.m (ginput_OH.m) that from the... Platforms: Matlab

Some curve fitting or smoothing tools can benefit from knowledge of the noise variance to expect on your data. Kalman filters use this information, also some spline fitting tools. So I wrote a function to extract the noise variance from a signal vector. It also works on any specified dimension of... Platforms: Matlab

This is the fastest (though not most accurate) method of fitting a circlle to data points on a plane (given by their xy-coordinates). It returns the circle center (a,b) and radius R. It was proposed by I. Kasa in article "A curve fitting procedure and its error analysis", IEEE Trans. Inst. Meas.,... Platforms: Matlab

We solve a binary distillation problem using the solution of a Riccati equation. We find that four plates are needed to achieve the desired product purity. We also compute the number of stages with the classical approach by stepping off stages using the equilibrium curve and the operating line.... Platforms: Matlab