Discrimination Against Gays and Lesbians in the Workplace

The topic I have chosen for my research paper comes under the general heading of culture. Culture may be defined as the language, beliefs, values, norms, and material objects passed from one generation to the next. The specific topic I proposed to investigate is discrimination of homosexuals in the workplace. This topic is particularly interesting to me because I am an advocate of equality for all. I believe that no matter your race, age, sex, or sexual orientation you should be treated fairly. My paper will provide an in depth look at this type of discrimination, the laws that protect the victims, and explain how this affects our society. Finally, I will describe the insights I have gained in researching this topic as well as pose some†¦show more content†¦Some feel that same sex relationships are completely wrong and that they shouldnt be allowed anywhere, especially in the workplace. But, there are others who are fighting for homosexual equality. Another opinion is Dont A sk Dont Tell. Some employers feel that, if an employers personal life is not evident at work, he/she shouldnt make it known. They feel that what an employee does in his/her personal life; is personal and they want to have an unbiased opinion. From researching this topic I have gained a newfound insight about myself and the world around me. Not only does prejudice affect your race, it also affects how you live your life, a job, and has the basic needs in life. Homosexuals choose a life different from the norm of society and they have to deal with the pressures of fitting in where they are told that they do not belong. It is put upon them to conform to what society wants and not to be different. Researching discrimination against gays and lesbians in the workplace helped me understand more about the struggles that they face. Having seen the similarities that racism and sexual orientation have in common has made me want to research further into the lives of homosexual persons. References Carroll, R. (2003). Gays, lesbians making gains in workplace, study shows. The Detroit News, . Retrieved Oct 02, 2005, from www. detnews.com (Carroll, 2003) Human Rights Campaign, (2002). Gays getting fair treatment at work. Retrieved Oct. 11,Show MoreRelatedEssay on Homosexual Rights and Equality1242 Words   |  5 Pagesfaithful citizens. Gay and lesbian couples are discriminated against and unfairly treated because of their sexual orientation. This discrimination against gay and lesbian couples must be confronted so that those who are trustworthy citizens have the same rights as heterosexual citizens. 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Critical Thinking And Case Studies - 1151 Words

Critical Thinking and Case Studies, Individual Assignment 3 In this assignment I am discussing some case study questions from chapter 7 and critical thinking discussion questions for chapters 8 and 9 of the Global Business Today text. These questions are for the individual week 3 assignment of our MBA 539 International Business class. These discussion questions are composed to increase the reader’s understanding of â€Å"the political economy of international trade†, â€Å"foreign direct investment† and â€Å"regional economic integration† as explained within Global Business Today (Hill, C., 2014). U.S. Tariffs on Tire Imports from China Which groups benefited from the imposition of U.S. tariffs on Chinese imports? Which groups suffered? What does this tell you about tariffs in general (Hill, C., 2014). 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FIR Filter Design Free Essays

The objective of this project is to use three different design methods to design a low-pass filter that meets specifications given, and then compare these three different methods through different parameters. In this project, seven filters should be designed using Matlab. And we compare them on worst case gain, largest tap weight coefficient, maximal passband and stopband error, magnitude frequency response, impulse response, group delay and zeros/poles location. We will write a custom essay sample on FIR Filter Design or any similar topic only for you Order Now Finally, use these filters to do filtering, and then compare their responses to the predicted one. Discussion of Results: Part 1: Window Method (a) Use fir1 function to synthesize an FIR that meets specifications using a boxcar window. Worst gain = 1.8372 Largest tap weight coefficient = 0.3694 Maximal passband error = 0.1678 Maximal stopband error = 0.0795 (b) Use Hann window to synthesize an FIR that meets specifications. Worst gain = 1.4154 Largest tap weight coefficient = 0.3496 Maximal passband error = 0.0052 Maximal stopband error = 0.2385 **Filter #1 is the unwindowed design, and Filter #2 is the windowed design. From the comparison above, we can see that the unwindowed design has a more critical passband and stopband edge, but the windowed one has a smaller maximal passband error as we expected. Also, the windowed one has a larger attenuation on stopband than the unwindowed one. The group delay responses of two designs are the same. (c) Use Kaiser window to synthesize an FIR that meets specifications Worst gain = 1.6900 Largest tap weight coefficient = 0.3500 N = 21 (which is in 20 in matlab) Maximal passband error = 0.0706 Maximal stopband error = 0.0852 ** Filter #1 is the unwindowed design, and Filter #2 is the kaiser design. From the comparison above, we can see that both designs have critical passband and stopband edges, but the kaiser one has a smaller maximal passband error as we expected. Also, the kaiser one has a smaller attenuation on stopband compare with the unwindowed one. The group delay responses of two designs are different, the Kaiser one only has 20th order, so the group delay is 10, not 11 as the unwindowed one. (d)The zeros of the three windowed designs ** Filter #1 is the â€Å"boxcar† design, and Filter #2 is the Hann design, Filter #3 is the Kaiser design. From figure above, we can see that Hann design has a zero far from unit circle, which is corresponding to the slower attenuation compared to the other two designs. The zeros of â€Å"boxcar† design are similar to the Kaiser design. Part 2: LMS Method (a) Using Matlab’s firls function to meet the original design specification. Worst gain = 1.5990 Largest tap weight coefficient = 0.3477 Maximal passband error = 0.0403 Maximal stopband error = 0.1137 ** Filter #1 is the 2(a) design, and Filter #2 is the â€Å"boxcar† design. From the comparison above, we can see that the â€Å"boxcar† design has a more critical passband and stopband edge, but the LMS one has a smaller maximal passband error as we expected. Also, the LMS one has a larger attenuation on stopband than the â€Å"boxcar† one. The group delay responses of two designs are the same. (b) Using Matlab’s fircls1 function to meet the original design specification. Worst gain = 1.6771 Largest tap weight coefficient = 0.3464 Maximal passband error = 0.0516 Maximal stopband error = 0.0782 ** Filter #1 is the 2(a) design, and Filter #2 is the 2(b) design. From the comparison above, we can see that the 2(b) design has a more critical passband and stopband edge, but the 2(a) one has a smaller maximal passband error. Also, the 2(a) one has a larger attenuation on stopband than the 2(b) one. The group delay responses of two designs are the same. (c)The zeros of the two LMS designs ** Filter #1 is the 2(a) design, and Filter #2 is the 2(b) design. From figure above, we can see that 2(b) design has a zero far from unit circle, which is corresponding to the slower attenuation compared to the other design. The zeros around the unit circle are similar to each other. Part 3: Equiripple Method (a) Using Matlab’s firgr function to meet the original design specification (uniform error weight) Worst gain = 1.6646 Largest tap weight coefficient = 0.3500 Maximal passband error = 0.0538 Maximal stopband error = 0.0538 ** Filter #1 is the 3(a) design, and Filter #2 is the â€Å"boxcar† design. From the comparison above, we can see that the â€Å"boxcar† design has a more critical passband and stopband edge, but the 3(a) one has a smaller maximal passband error. Also, the â€Å"boxcar† one has a larger attenuation on stopband than the 3(a) one. The group delay responses of two designs are the same. (b) Using Matlab’s firpm function to meet the original design specification Worst gain = 1.6639 Largest tap weight coefficient = 0.3476 Maximal passband error = 0.0638 Maximal stopband error = 0.0594 ** Filter #1 is the 3(a) design, and Filter #2 is the 3(b) design. From the comparison above, we can see that the 3(b) design has a more critical passband and stopband edge. And the stopband error is 0.0488 (which is consistent with 0.0538*(1-20%)=0.04304), the passband error is 0.0639 (which is consistent with 0.0538/(1-20%)=0.06725). The group delay responses of two designs are the same. (c) The zeros of the two equiripple designs ** Filter #1 is the 3(a) design, and Filter #2 is the 3(b) design. From figure above, we can see that 3(a) design has a zero far from unit circle, which is corresponding to the slower attenuation compared to the other design (almost no attenuation on the figure shown ). There is only one zero stays outside the unit circle for 3(b) design, which is the minimum phase design. Part 4: Testing (a)Table the features for the 7 designed FIRs: Features Filter #1 Filter #2 Filter #3 Filter #4 Filter #5 Filter #6 Filter #7 Maximum gain 1.8372 1.4154 1.6900 1.5990 1.6771 1.6646 1.6639 Maximum passband linear 0.1678 0.0052 0.0706 0.0403 0.0516 0.0538 0.0638 Maximum passband error(dB) -15.5052 -45.7568 -23.0266 -27.8855 -25.7472 -25.3838 -23.9007 Maximum stopband linear 0.0795 0.2385 0.0852 0.1137 0.0782 0.0538 0.0594 Maximum stopband error(dB) -21.9886 -12.4495 -21.3913 -18.8858 -22.1339 -25.3838 -24.5274 Group delay 11 11 10 11 11 11 11 Largest tap weight coefficient 0.3694 0.3496 0.3500 0.3477 0.3464 0.3500 0.3476 (b) From the figure followed, we can figure out that the group delay is 22-11=11 samples regardless of the input frequency. (c) Compare the original, mirror, and complement FIR’s impulse, magnitude frequency, and group delay response **Filter #1 is the original filter, Filter #2 is the mirror filter, and Filter #3 is the complement filter. (d) Maximal output is 1.8372, which equals to the worst gain prediction of this filter. Part 5: Run-time Architecture (a) N = 8, M=1; N = 12, M=1; N = 16, M=1; Round off error N=8 N=12 N=16 From the comparison above, we can see clearly that as the value of N increases, the round-off error decreases. Bits of precision is N-1-1=N-2 (b) Choose two 12-bit address space which has memory cycle time of 12 ns, so the maximum run-time filter speed is 1/ (12ns/cycle*16 bits) =1/ (192 ns/filter cycle) =5.21*106 filter cycles/sec Part 6: Experimentation (a) The maximal of the output time-series is 1.1341. It is reasonable, because it is smaller than the worst case gain which is 1.8372. So this agrees with the predicted filter response. (b) The â€Å"chirp† function makes a short, high-pitched sound, and it sounds four times, which is corresponding to the 4*fs. When all the .wav files are played, we can hear obviously that the frequency of output sound is much lower than the frequency of input sound, which means that the filter did filter high-frequency components out. From the figure above, we can see the high-frequency components are gone, which agrees with the predicted filter response, a low-pass filter. Summary: Through this project, the detailed processes of designing a filter by three different methods have been understood. And we know more about all the parameters which would affect properties of the filters, and how to use different methods to design them and make best trade-off between each other. How to cite FIR Filter Design, Papers