Topics in Computer Architecture
Final Exam Part1 - Datapath
Using the VHDL Tutorial here:
http:/www.seas.upenn.edu/~ese171/vhdl/vhdl_primer.html#_Toc526061347
the components provided:
final_P1.zip
dra
Topics in Computer Architecture
Lab Chap #3
1. Implement the following Boolean function with a 4 x 1 multiplexer and external gates. Connect A and
B to select lines. The input requirements for the fou
Topics in Computer Architecture
Midterm Exam
Name _
Date _
1. Design a circuit with a 4 bit BCD input A, B, C, D that produces an output W, X, Y, Z that is equal
to the input +6 in binary. For example
3 Autocorrelation
Autocorrelation refers to the correlation of a time series with its own past and future values.
Autocorrelation is also sometimes called lagged correlation or serial correlation, whi
4
Spectrum
The spectrum of a time series is the distribution of variance of the series as a function of
frequency. The object of spectral analysis is to estimate and study the spectrum. The spectrum
c
6 Spectral Analysis - Smoothed Periodogram Method
6.1 Historical background
There are many available methods for estimating the spectrum of a time series. In lesson 4 we
looked at the Blackman-Tukey m
5 Autoregressive-Moving-Average Modeling
5.1 Purpose.
Autoregressive-moving-average (ARMA) models are mathematical models of the persistence,
or autocorrelation, in a time series. ARMA models are wide
2 Probability distribution
The probability distribution of a time series describes the probability that an observation
falls into a specified range of values. An empirical probability distribution for
12 Validating the Regression Model
Regression R-squared, even if adjusted for loss of degrees of freedom due to the number of
predictors in the model, can give a misleading, overly optimistic view of
1 Organizing time series in Matlab structures
The first step is to store your time series and its metadata in structures with defined fields.
This step assures uniformity in storage of the time series
9 Correlation
The Pearson product-moment correlation coefficient is probably the single most widely
used statistic for summarizing the relationship between two variables. Statistical significance and
8 Filtering
The estimated spectrum of a time series gives the distribution of variance as a function of
frequency. Depending on the purpose of analysis, some frequencies may be of greater interest
tha
10.
Lagged Correlation
Lagged relationships are characteristic of many natural physical systems. Lagged
correlation refers to the correlation between two time series shifted in time relative to one
an
7 Detrending
Trend in a time series is a slow, gradual change in some property of the series over the whole
interval under investigation. Trend is sometimes loosely defined as a long term change in th
11 Multiple Linear Regression
Multiple linear regression (MLR) is a method used to model the linear relationship between a
dependent variable and one or more independent variables. The dependent varia