Problems Dealing with Analog Signal Processing
This class analyzes complex biological processes from the molecular, cellular, extracellular, and organ levels of hierarchy. Emphasis is placed on the basic biochemical and biophysical principles that govern these processes. Examples of processes to be studied include chemotaxis, the fixation of nitrogen into organic biological molecules, growth factor and hormone mediated signaling cascades, and signaling cascades leading to cell death in response to DNA damage. In each case, the availability of a resource, or the presence of a stimulus, results in some biochemical pathways being turned on while others are turned off. The course examines the dynamic aspects of these processes and details how biochemical mechanistic themes impinge on molecular/cellular/tissue/organ-level functions. Chemical and quantitative views of the interplay of multiple pathways as biological networks are emphasized. Student work will culminate in the preparation of a unique grant application in an area of biological networks.
This class analyzes complex biological processes from the molecular, cellular, extracellular, and organ levels of hierarchy. Emphasis is placed on the basic biochemical and biophysical principles that govern these processes. Examples of processes to be studied include chemotaxis, the fixation of nitrogen into organic biological molecules, growth factor and hormone mediated signaling cascades, and signaling cascades leading to cell death in response to DNA damage. In each case, the availability of a resource, or the presence of a stimulus, results in some biochemical pathways being turned on while others are turned off. The course examines the dynamic aspects of these processes and details how biochemical mechanistic themes impinge on molecular/cellular/tissue/organ-level functions. Chemical and quantitative views of the interplay of multiple pathways as biological networks are emphasized. Student work will culminate in the preparation of a unique grant application in an area of biological networks.
Explains bounded input, bounded output stability.
This module describes how a matched filter algorithm is used to identify birdcall audio files.
Description of a MATLAB GUI that identifies bird calls within audio wave files.
Birdcall Identification Project for Rice University Elec 301 class.
This collection is a brief and concise set on notes on continuous and discrete time signals and systems with some information on up and down sampling and a brief introduction to wavelets.
Describes the design of analog lowpass Butterworth filters.
Briefly explains Chebyshev filters.
Describes the complex exponential function.
Defines convolution and derives the Convolution Integral.
The module will introduce the convolution integral and how it can be used as a powerful tool in determining a system's output.
Definir la convolución y obtener la Integral de Convolución.
The module goes through the steps of deriving the Fourier coefficient equation from the general Fourier series equation.
Convolution is a concept that extends to all systems that are both linear and time-invariant (LTI). It will become apparent in this discussion that this condition is necessary by demonstrating how linearity and time-invariance give rise to convolution.
Signals can be represented by discrete quantities instead of as a function of a continuous variable. These discrete time signals do not necessarily have to take real number values. Many properties of continuous valued signals transfer almost directly to the discrete domain.
Important discrete time signals.
Briefly describes Elliptic filters.
Explica las estabilidad de entrada acotada, salida acotada.
